Python Expert
$40-50
SME Careers • Bachelor's • 53d ago
Software Engineering AI Training
Remote Python AI Trainer Jobs
Python is the #1 language for AI/ML, making these some of the highest-volume and most accessible roles available. You will evaluate AI-generated Python scripts, debug NumPy/Pandas workflows, write unit tests, and assess code efficiency. No advanced CS degree required, but strong Python fundamentals are essential. Platforms like Mercor, Micro1, SME Careers, and DataAnnotation regularly post Python roles. Average pay: $31-$61/hr.
130 open jobs
- Typical pay
- $48/hr
- Most roles pay
- $31 to $61/hr
- Based on
- 42 posted rates
- Updated
- October 4, 2026
Startup roles, filled by referral. Send your CV once, and if your experience fits, we'll introduce you to the recruiter filling them.
Part of: Software Engineering & Coding
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132 Jobs
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Python (ML-Focused) Team Lead
$90-120
SME Careers • PhD • 53d ago
Software Engineering AI Training
Python Team Lead
$50-70
SME Careers • Master's • 53d ago
Software Engineering AI Training
Python Engineer
$40-60
SME Careers • Bachelor's • 53d ago
Software Engineering AI Training
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What to Expect
Day-to-day work involves reviewing Python code and providing detailed, written feedback. One task might ask you to evaluate a Flask REST API for security issues; the next might be a pandas pipeline you need to optimize or a Django ORM query you should rewrite for efficiency. Tasks emphasize Pythonic conventions, proper use of list comprehensions, generator expressions, context managers, and type hints. You'll catch off-by-one errors, flag missing exception handling, and note when code ignores the standard library. Each task ships with a rubric, so evaluation is structured. Most tasks take 20-40 minutes; complex architecture reviews can run longer and pay more.
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Frequently Asked Questions
What Python libraries will I evaluate?
Most jobs focus on NumPy, Pandas, Django, Flask, and FastAPI. Some include scikit-learn and requests. Strong fundamentals + ability to read documentation is enough.
How do I qualify for Python roles?
Most platforms screen with a free coding assessment: a short set of Python problems on data handling, debugging and reading someone else's code, sometimes followed by a recorded or live interview. Passing puts you in the pool for Python projects; tasks are released as projects start, so there can be a wait.
Can I work for multiple platforms simultaneously?
Yes. Contracts with Mindrift, Turing, Mercor and SME Careers are non-exclusive, so you can hold several at once. Check each contract for a conflict-of-interest clause before you sign.
How many Python AI training jobs are open right now?
This page is showing 132 listings, sourced from 10 platforms: Mindrift (92), Turing (21), SME Careers (5), Mercor (5) and Meridial (3). The most recent one was picked up today. The count moves as platforms post and close roles, so treat it as a snapshot of today rather than a fixed figure.
What do Python AI training jobs pay?
Most sit between $31 and $61 an hour, with a median of $48, measured across the 106 listings on this page that quote an hourly rate. The highest rate currently posted here is $150 an hour. These are the figures the platforms published, not our estimates, and the rate you are offered depends on how you do in that platform's assessment.
Which platform posts the most Python work?
Mindrift, with 92 of the 132 listings here. Signing up there covers the bulk of what is on this page, though the other 9 platforms carry roles it does not. Nothing stops you working through several at once.
What kind of work do these Python listings involve?
The roles here fall across 5 areas, led by Software Engineering (86), STEM (37), Data Science (4) and Mathematics (2). The requirements named most often are Python, AI Training, Code review, Trainer Feedback and Machine Learning. Each listing spells out its own task type, so read the individual page before applying.
How often are new Python jobs added?
32 of these listings first appeared in the last 30 days, out of 132 live now. We rescrape the source platforms daily, so a page you checked last week will not be the same page today.
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